Отзывы учащихся о курсе Generate Synthetic Images with DCGANs in Keras от партнера Coursera Project Network
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AA
26 мая 2020 г.
The course was well equipped. It gave me the basic idea of how GAN works and how to implement it. If you want to get started with GAN then it can be a better course to lead you.
AG
13 июня 2020 г.
In this course, you will learn about a lot of different ways to join ideas to make more complex and interesting knowledge of keras
1–25 из 47 отзывов о курсе Generate Synthetic Images with DCGANs in Keras
автор: Krishna V D
•29 мая 2020 г.
This course honestly felt like a joke, you're probably better off reading a medium article about GANs. Sure, It provides a very minimal objective, there are initially no instructions so there's nothing to explore, soon enough as you get into writing code, the more of a medium article it turns into except in video format.
автор: Saida M D C
•25 мая 2020 г.
I learned, now I understand. Thank you
автор: DARSHAN D
•1 авг. 2020 г.
Really great, But if you are coming from the TensorFlow specialization on Coursera, then you won't understand each line of code. You will get most of it, what it does as a whole, but not every line. So a little expertise on TensorFlow is required. Other than it was really great!
автор: Sai D P
•12 июня 2020 г.
A great introduction to DCGANs application on a prominent dataset. However, I would have wanted a little more there and the reasoning behind using techniques. This is a great place if you want to learn the implementation and tinkering with a general DCGAN. Great instructor.
автор: Paras V
•31 мая 2020 г.
The course was good but the cloud server had some issues initially but later that worked fine. Kudos to the Instructor!
автор: Andrea R
•13 мая 2020 г.
It does not really check what you did
автор: Ha Q
•22 июня 2020 г.
I would choose to learn online rather than study this course. The course was not well-prepared.
автор: Никита А Ф
•10 сент. 2020 г.
Very poor explanation, a lot of unclear moments
автор: Abrar I A
•27 мая 2020 г.
The course was well equipped. It gave me the basic idea of how GAN works and how to implement it. If you want to get started with GAN then it can be a better course to lead you.
автор: Abhishek P G
•14 июня 2020 г.
In this course, you will learn about a lot of different ways to join ideas to make more complex and interesting knowledge of keras
автор: David C
•20 авг. 2021 г.
Very clear and concise instructions, providing enough detail and references for further study.
автор: Sumit A T
•21 июля 2020 г.
Excellent instructor. Dense with content and comments explaining bits of code.
автор: Warunee S
•4 июля 2020 г.
I know DCGANs more for imploving skill and help you create image quanlity.
автор: sunil k s
•13 авг. 2020 г.
This was very good guided project to understand practically
автор: Bappaditya D
•4 июня 2021 г.
Very well explanation towards completion of the code.
автор: Adrien A
•21 дек. 2020 г.
Quick and easy to follow, very informative as well!
автор: MS. S S
•15 авг. 2020 г.
It was a great experience with the Guided projects
автор: Ahmed A
•21 мая 2020 г.
It's a very good start to know more about GANs
автор: Ali A
•19 июня 2020 г.
need more projects like this it was awesome
автор: Mayank S
•1 мая 2020 г.
Great Course, Learned a lot. Thanks Snehan.
автор: Md. S A
•6 сент. 2020 г.
It's a quick and very effective course
автор: Pratikshya M
•2 нояб. 2020 г.
A good basic understanding of DCGANS.
автор: Rishabh R
•17 мая 2020 г.
Mostly likeable project & good
автор: Vishnu N
•18 окт. 2020 г.
Amazing Course on DCGans.
автор: Yuvraj S C
•24 сент. 2020 г.
ek dam tanch maal h
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